Job description

We are looking for a seasoned Senior Data Scientist & Python Engineer with deep expertise in data science, Python programming, and a specialization in image classification. This role demands advanced data science capabilities and engineering experience to drive the development and deployment of computer vision solutions.

Key Responsibilities

Image Classification & Computer Vision: Design, train, and deploy image classification models using state-of-the-art machine learning techniques.
Data Science & Machine Learning: Apply advanced data science methods to build and optimize models addressing complex challenges in computer vision, predictive analytics, and data-driven decision-making.
Python Engineering: Develop and maintain Python-based applications, focusing on the robustness and efficiency of model pipelines for image classification tasks.
Data Engineering: Ensure data quality and accessibility by building and maintaining scalable pipelines, especially for handling large volumes of image data.
Data Analysis and Visualization: Conduct analyses and create visualizations to convey findings and support decision-making related to image classification and broader data projects.
Collaboration & Mentorship: Collaborate with cross-functional teams and mentor junior data scientists and engineers to advance their skills, particularly in computer vision.
Continuous Learning: Stay updated on industry trends in machine learning, deep learning, and image processing to bring innovative solutions to our team.

Requirements

Education: Bachelors or Masters degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
Experience:
- 10+ years of hands-on experience in Python development.
- 5+ years of experience as a Data Scientist with a focus on computer vision and image classification.
Technical Skills:
- Proficiency in Python, including libraries like Pandas, NumPy, Scikit-learn, TensorFlow, Keras, and OpenCV.
- Extensive experience in machine learning and deep learning, with a strong focus on image classification techniques such as CNNs, transfer learning, and object detection.
- Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Plotly) and familiarity with big data frameworks (Spark, Hadoop).
- Databases: postgreSQL, Pinecone / Milvus (vetor database)
- Expertise in data pipeline development, especially for image and video processing.
Soft Skills:
- Strong analytical and problem-solving skills.
- Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences.
- Experience leading and mentoring team members.
Preferred Qualifications:
- Experience with cloud platforms (AWS preferred) and containerization (Docker).
- Background in natural language processing or other areas of computer vision is a plus.